SnowConvert AI - Redshift - Expressions

Listas de expressões

Descrição

Uma lista de expressões é uma combinação de expressões e pode aparecer em condições de associação e comparação (cláusulasWHERE) e em cláusulas GROUP BY. (Listas de expressões de referência da linguagem Redshift SQL).

Note

Essa sintaxe é totalmente compatível com o Snowflake.

Sintaxe da gramática

 expression , expression , ... | (expression, expression, ...)
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Amostra de padrões da origem

Setup data

Redshift
 CREATE TABLE table1 (
    quantity VARCHAR(50),
    fruit VARCHAR(50)
);

CREATE TABLE table2 (
    quantity VARCHAR(50),
    fruit VARCHAR(50)
);

CREATE TABLE table3 (
    id INT,
    name VARCHAR(50),
    quantity INT,
    fruit VARCHAR(50),
    price INT
);

INSERT INTO table1 (quantity, fruit)
VALUES
    ('one', 'apple'),
    ('two', 'banana'),
    ('three', 'cherry');

INSERT INTO table2 (quantity, fruit)
VALUES
    ('one', 'apple'),
    ('two', 'banana'),
    ('four', 'orange');

INSERT INTO table3 (id, name, quantity, fruit, price)
VALUES
    (1, 'Alice', 1, 'apple', 100),
    (2, 'Bob', 5, 'banana', 200),
    (3, 'Charlie', 10, 'cherry', 300),
    (4, 'David', 15, 'orange', 400);
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Cláusula IN

Código de entrada:
Redshift
SELECT *
FROM table3
WHERE quantity IN (1, 5, 10);
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Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

2

Bob

5

banana

200

3

Charlie

10

cherry

300

Código de saída:
Snowflake
 SELECT *
FROM
    table3
WHERE quantity IN (1, 5, 10);
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Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

2

Bob

5

banana

200

3

Charlie

10

cherry

300

Comparações

Código de entrada:
Redshift
 SELECT *
FROM table3
WHERE (quantity, fruit) = (1, 'apple');
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Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

Código de saída:
Snowflake
 SELECT *
FROM
    table3
WHERE (quantity, fruit) = (1, 'apple');
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Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

Nota

As comparações de listas de expressões com os seguintes operadores podem ter um comportamento diferente no Snowflake. ( <, <= , >, >=). Esses operadores são transformados em operações AND lógicas para obter equivalência total no Snowflake.

Código de entrada:
Redshift
 SELECT (1,8,20) < (2,2,0) as r1,
       (1,null,2) > (1,0,8) as r2,
       (null,null,2) < (1,0,8) as r3,
       (1,0,null) <= (1,1,0) as r4,
       (1,1,0) >= (1,1,20) as r5;
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Result

R1

R2

R3

R4

R5

FALSE

FALSE

NULL

NULL

FALSE

Código de saída:
Snowflake
 SELECT
    (1 < 2
    AND 8 < 2
    AND 20 < 0) as r1,
    (1 > 1
    AND null > 0
    AND 2 > 8) as r2,
    (null < 1
    AND null < 0
    AND 2 < 8) as r3,
    (1 <= 1
    AND 0 <= 1
    AND null <= 0) as r4,
    (1 >= 1
    AND 1 >= 1
    AND 0 >= 20) as r5;
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Result

R1

R2

R3

R4

R5

FALSE

FALSE

NULL

NULL

FALSE

Tuplas aninhadas

Código de entrada:
Redshift
 SELECT *
FROM table3
WHERE (quantity, fruit) IN ((1, 'apple'), (5, 'banana'), (10, 'cherry'));
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Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

2

Bob

5

banana

200

3

Charlie

10

cherry

300

Código de saída
Snowflake
 SELECT *
FROM
    table3
WHERE (quantity, fruit) IN ((1, 'apple'), (5, 'banana'), (10, 'cherry'));
Copy
Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

2

Bob

5

banana

200

3

Charlie

10

cherry

300

Instrução de caso

Código de entrada:
Redshift
 SELECT
    CASE
        WHEN quantity IN (1, 5, 10) THEN 'Found'
        ELSE 'Not Found'
    END AS result
FROM table3;
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Result

RESULT

Encontrado

Encontrado

Encontrado

Não encontrado.

Não encontrado.

Não encontrado.

Código de saída
Snowflake
 SELECT
    CASE
        WHEN quantity IN (1, 5, 10) THEN 'Found'
        ELSE 'Not Found'
    END AS result
FROM
    table3;
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Result

RESULT

Encontrado

Encontrado

Encontrado

Não encontrado.

Não encontrado.

Não encontrado.

Expressões múltiplas

Código de entrada:
Redshift
 SELECT *
FROM table3
WHERE (quantity, fruit) IN ((1, 'apple'), (5, 'banana'), (10, 'cherry'))
  AND price IN (100, 200, 300);
Copy
Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

2

Bob

5

banana

200

3

Charlie

10

cherry

300

Código de saída
Snowflake
 SELECT *
FROM
    table3
WHERE (quantity, fruit) IN ((1, 'apple'), (5, 'banana'), (10, 'cherry'))
  AND price IN (100, 200, 300);
Copy
Result

ID

NAME

QUANTITY

FRUIT

PRICE

1

Alice

1

apple

100

2

Bob

5

banana

200

3

Charlie

10

cherry

300

Junções

Código de entrada:
Redshift
 SELECT *
FROM table1 t1
JOIN table2 t2
    ON (t1.quantity, t1.fruit) = (t2.quantity, t2.fruit)
WHERE t1.quantity = 'one' AND t1.fruit = 'apple';
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Result

QUANTITY

FRUIT

QUANTITY

FRUIT

um

apple

um

apple

Código de saída
Snowflake
 SELECT *
FROM
table1 t1
JOIN
        table2 t2
    ON (t1.quantity, t1.fruit) = (t2.quantity, t2.fruit)
WHERE t1.quantity = 'one' AND t1.fruit = 'apple';
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Result

QUANTITY

FRUIT

QUANTITY

FRUIT

um

apple

um

apple

Problemas conhecidos

Não foram encontrados problemas.

Expressões compostas

Descrição

A compound expression is a series of simple expressions joined by arithmetic operators. A simple expression used in a compound expression must return a numeric value.

(RedShift SQL Language Reference Compound expressions)

Sintaxe da gramática

 expression operator {expression | (compound_expression)}
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Tabela de conversão

RedshiftSnowflakeComments
|| (Concatenation)||Fully supported by Snowflake

Amostra de padrões da origem

Código de entrada:

Redshift

 CREATE TABLE concatenation_demo (
    col1 VARCHAR(20),
    col2 INTEGER,
    col3 DATE
);

INSERT INTO concatenation_demo (col1, col2, col3) VALUES
('Hello', 42, '2023-12-01'),
(NULL, 0, '2024-01-01'),
('Redshift', -7, NULL);

SELECT 
    col1 || ' has number ' || col2 AS concat_string_number
FROM concatenation_demo;

SELECT 
    col1 || ' on ' || col3 AS concat_string_date
FROM concatenation_demo;

SELECT
    COALESCE(col1, 'Unknown') || ' with number ' || COALESCE(CAST(col2 AS VARCHAR), 'N/A') AS concat_with_null_handling
FROM concatenation_demo;
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Results

concat_string_number

Hello has number 42

<NULL>

Redshift has number -7

concat_string_date

Hello on 2023-12-01

<NULL>

<NULL>

concat_with_null_handling

Hello with number 42

Unknown with number 0

Redshift with number -7

Código de saída:

Snowflake
 CREATE TABLE concatenation_demo (
    col1 VARCHAR(20),
    col2 INTEGER,
    col3 DATE
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "12/16/2024",  "domain": "test" }}';

INSERT INTO concatenation_demo (col1, col2, col3) VALUES
('Hello', 42, '2023-12-01'),
(NULL, 0, '2024-01-01'),
('Redshift', -7, NULL);

SELECT
    col1 || ' has number ' || col2 AS concat_string_number
FROM
    concatenation_demo;

SELECT
    col1 || ' on ' || col3 AS concat_string_date
FROM
    concatenation_demo;

SELECT
    COALESCE(col1, 'Unknown') || ' with number ' || COALESCE(CAST(col2 AS VARCHAR), 'N/A') AS concat_with_null_handling
FROM
    concatenation_demo;
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Results

concat_string_number

Hello has number 42

<NULL>

Redshift has number -7

concat_string_date

Hello on 2023-12-01

<NULL>

<NULL>

concat_with_null_handling

Hello with number 42

Unknown with number 0

Redshift with number -7

Problemas conhecidos

Não foram encontrados problemas.

EWIs relacionados

Não há problemas conhecidos.

Operadores aritméticos

Operators

Conversão de operadores aritméticos

Tabela de conversão

RedshiftSnowflakeComments
+/- (positive and negative sign/operator)+/- Fully supported by Snowflake
^ (exponentiation)POWERFully supported by Snowflake
* (multiplication)*Fully supported by Snowflake
/ (division)/Redshift division between integers always returns integer value, FLOOR function is added to emulate this behavior.
% (modulo)%Fully supported by Snowflake
+ (addition)+ and ||Fully supported by Snowflake. When string are added, it is transformed to a concat.
- (subtraction)-Fully supported by Snowflake
@ (absolute value)ABSFully supported by Snowflake
|/ (square root)SQRTFully supported by Snowflake
||/ (cube root)CBRTFully supported by Snowflake

Amostra de padrões da origem

Adição, subtração, positivo e negativo

Código de entrada:

Código de entrada:
Redshift
 CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    description VARCHAR(100),
    created_at TIMESTAMP,
    category VARCHAR(50)
);


INSERT INTO test_math_operations (base_value, multiplier, divisor, description, created_at, category)
VALUES
(100.50, 2, 5, 'Basic test', '2024-12-01 10:30:00', 'Type A'),
(250.75, 3, 10, 'Complex operations', '2024-12-02 15:45:00', 'Type B'),
(-50.25, 5, 8, 'Negative base value', '2024-12-03 20:00:00', 'Type C'),
(0, 10, 2, 'Zero base value', '2024-12-04 09:15:00', 'Type D');


SELECT +base_value AS positive_value,
       -base_value AS negative_value,
       (base_value + multiplier - divisor) AS add_sub_result,
       created_at + INTERVAL '1 day' AS next_day,
       created_at - INTERVAL '1 hour' AS one_hour_before,
       description + category as string_sum,
       base_value + '5' as int_string_sum,
       '5' + base_value as string_int_sum
FROM test_math_operations;
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Results
positive_valuenegative_valueadd_sub_resultnext_dayone_hour_beforestring_sumint_string_sumstring_int_sum
100.50-100.5097.502024-12-02 10:30:00.0000002024-12-01 09:30:00.000000Basic testType A105.5105.5
250.75-250.75243.752024-12-03 15:45:00.0000002024-12-02 14:45:00.000000Complex operationsType B255.75255.75
-50.2550.25-53.252024-12-04 20:00:00.0000002024-12-03 19:00:00.000000Negative base valueType C-45.25-45.25
0.000.008.002024-12-05 09:15:00.0000002024-12-04 08:15:00.000000Zero base valueType D55

Código de saída:

Snowflake
 CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    description VARCHAR(100),
    created_at TIMESTAMP,
    category VARCHAR(50)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "07/11/2025",  "domain": "no-domain-provided" }}';


INSERT INTO test_math_operations (base_value, multiplier, divisor, description, created_at, category)
VALUES
(100.50, 2, 5, 'Basic test', '2024-12-01 10:30:00', 'Type A'),
(250.75, 3, 10, 'Complex operations', '2024-12-02 15:45:00', 'Type B'),
(-50.25, 5, 8, 'Negative base value', '2024-12-03 20:00:00', 'Type C'),
(0, 10, 2, 'Zero base value', '2024-12-04 09:15:00', 'Type D');


SELECT +base_value AS positive_value,
       -base_value AS negative_value,
       (base_value + multiplier - divisor) AS add_sub_result,
       created_at + INTERVAL '1 day' AS next_day,
       created_at - INTERVAL '1 hour' AS one_hour_before,
       description + category as string_sum,
       base_value + '5' as int_string_sum,
       '5' + base_value as string_int_sum
FROM
       test_math_operations;
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Results
positive_valuenegative_valueadd_sub_resultnext_dayone_hour_beforestring_sumint_string_sumstring_int_sum
100.5-100.597.52024-12-02 10:30:002024-12-01 09:30:00Basic testType A105.5105.5
250.75-250.75243.752024-12-03 15:45:002024-12-02 14:45:00Complex operationsType B255.75255.75
-50.2550.25-53.252024-12-04 20:00:002024-12-03 19:00:00Negative base valueType C-45.25-45.25
0082024-12-05 09:15:002024-12-04 08:15:00Zero base valueType D55

Exponenciação, multiplicação, divisão e módulo

Código de entrada:
Redshift
 CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    mod_value INT,
    exponent INT
);

INSERT INTO test_math_operations (base_value, multiplier, divisor, mod_value, exponent)
VALUES
(100.50, 2, 5, 3, 2),
(250.75, 3, 10, 7, 3),
(-50.25, 5, 8, 4, 4),
(0, 10, 2, 1, 5);

SELECT
    base_value ^ exponent AS raised_to_exponent,
    (base_value * multiplier) AS multiplied_value,
    (base_value / divisor) AS divided_value,
    base_value::int / divisor as int_division,
    (mod_value % 2) AS modulo_result,
    (base_value + multiplier - divisor) AS add_sub_result,
    (base_value + (multiplier * (divisor - mod_value))) AS controlled_eval
FROM
    test_math_operations;
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Results
raised_to_exponentmultiplied_valuedivided_valueint_divisionmodulo_resultadd_sub_resultcontrolled_eval
10100.2520120.120197.5104.5
15766047.296875752.2525.075251243.75259.75
6375940.62890625-251.25-6.28125-60-53.25-30.25
00001810
Código de saída:
Snowflake
 CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    mod_value INT,
    exponent INT
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "12/10/2024",  "domain": "test" }}';

INSERT INTO test_math_operations (base_value, multiplier, divisor, mod_value, exponent)
VALUES
(100.50, 2, 5, 3, 2),
(250.75, 3, 10, 7, 3),
(-50.25, 5, 8, 4, 4),
(0, 10, 2, 1, 5);

SELECT
    POWER(
    base_value, exponent) AS raised_to_exponent,
    (base_value * multiplier) AS multiplied_value,
    (base_value / divisor) AS divided_value,
    FLOOR(
    base_value::int / divisor) as int_division,
    (mod_value % 2) AS modulo_result,
    (base_value + multiplier - divisor) AS add_sub_result,
    (base_value + (multiplier * (divisor - mod_value))) AS controlled_eval
FROM
    test_math_operations;
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Results
raised_to_exponentmultiplied_valuedivided_valueint_divisionmodulo_resultadd_sub_resultcontrolled_eval
10100.2520120.120197.5104.5
15766047.2969752.2525.075251243.75259.75
6375940.6289-251.25-6.2812-70-53.25-30.25
00001810

Valor absoluto, raiz quadrada e raiz cúbica

Código de entrada:
Redshift
 CREATE TABLE unary_operators
(
    col1 INTEGER,
    col2 INTEGER
);

INSERT INTO unary_operators VALUES
(14, 10),
(-8, 8),
(975, 173),
(-1273, 187);

SELECT
|/ col2 AS square_root,
||/ col1 AS cube_root,
@ col1 AS absolute_value
FROM unary_operators;
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Results
+-------------------+--------------------+--------------+
|square_root        |cube_root           |absolute_value|
+-------------------+--------------------+--------------+
|3.1622776601683795 |2.4101422641752306  |14            |
|2.8284271247461903 |-2                  |8             |
|13.152946437965905 |9.915962413403873   |975           |
|13.674794331177344 |-10.837841647592736 |1273          |
+-------------------+--------------------+--------------+

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Código de saída:
Snowflake
 CREATE TABLE unary_operators
(
    col1 INTEGER,
    col2 INTEGER
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "12/17/2024",  "domain": "test" }}';

INSERT INTO unary_operators
VALUES
(14, 10),
(-8, 8),
(975, 173),
(-1273, 187);

SELECT
    SQRT(col2) AS square_root,
    CBRT(col1) AS cube_root,
    ABS(col1) AS absolute_value
FROM
    unary_operators;
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Results
+-------------+--------------+--------------+
|square_root  |cube_root     |absolute_value|
+-------------+--------------+--------------+
|3.16227766   |2.410142264   |14            |
|2.828427125  |-2            |8             |
|13.152946438 |9.915962413   |975           |
|13.674794331 |-10.837841648 |1273          |
+-------------+--------------+--------------+

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Problemas conhecidos

  1. No Snowflake, é possível usar os operadores unários +e - com valores de cadeia de caracteres, mas no Redshift isso não é válido.

EWIs relacionados

Sem EWIs relacionados.

Operadores bit a bit

Operators

Conversão para operadores bit a bit

Tabela de conversão

RedshiftSnowflakeComments
& (AND)BITANDFully supported by Snowflake
| (OR)BITORFully supported by Snowflake
<< (Shift Left)BITSHIFTLEFT
>> (Shift Right)BITSHIFTRIGHT
# (XOR)BITXORFully supported by Snowflake
~ (NOT)BITNOTFully supported by Snowflake

Amostra de padrões da origem

Dados de configuração

Redshift
Query
 CREATE TABLE bitwise_demo (
    col1 INTEGER,
    col2 INTEGER,
    col3 INTEGER,
    col4 VARBYTE(5),
    col5 VARBYTE(7)
);

INSERT INTO bitwise_demo (col1, col2, col3, col4, col5) VALUES
-- Binary: 110, 011, 1111, 0100100001100101011011000110110001101111, 0100100001101001
(6, 3, 15, 'Hello'::VARBYTE, 'Hi'::VARBYTE),
-- Binary: 1010, 0101, 0111, 0100000101000010, 01000011
(10, 5, 7, 'AB'::VARBYTE, 'C'::VARBYTE),   
-- Binary: 11111111, 10000000, 01000000, 010000100111100101100101, 01000111011011110110111101100100010000100111100101100101
(255, 128, 64, 'Bye'::VARBYTE, 'GoodBye'::VARBYTE),
-- Edge case with small numbers and a negative number
(1, 0, -1, 'Hey'::VARBYTE, 'Ya'::VARBYTE);
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Snowflake
Query
 CREATE TABLE bitwise_demo (
    col1 INTEGER,
    col2 INTEGER,
    col3 INTEGER,
    col4 BINARY(5),
    col5 BINARY(7)
);

-- Binary: 110, 011, 1111, 0100100001100101011011000110110001101111, 0100100001101001
INSERT INTO bitwise_demo (col1, col2, col3, col4, col5) SELECT 6, 3, 15, TO_BINARY(HEX_ENCODE('Hello')), TO_BINARY(HEX_ENCODE('Hi'));  
-- Binary: 1010, 0101, 0111, 0100000101000010, 01000011 
INSERT INTO bitwise_demo (col1, col2, col3, col4, col5) SELECT 10, 5, 7, TO_BINARY(HEX_ENCODE('AB')), TO_BINARY(HEX_ENCODE('C'));   
-- Binary: 11111111, 10000000, 01000000, 010000100111100101100101, 01000111011011110110111101100100010000100111100101100101
INSERT INTO bitwise_demo (col1, col2, col3, col4, col5) SELECT 255, 128, 64, TO_BINARY(HEX_ENCODE('Bye')), TO_BINARY(HEX_ENCODE('GoodBye')); 
-- Edge case with small numbers and a negative number
INSERT INTO bitwise_demo (col1, col2, col3, col4, col5) SELECT 1, 0, -1, TO_BINARY(HEX_ENCODE('Hey')), TO_BINARY(HEX_ENCODE('Ya'));
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Operadores bit a bit em valores inteiros

Código de entrada:
Redshift
 SELECT
    -- Bitwise AND
    col1 & col2 AS bitwise_and,  -- col1 AND col2

    -- Bitwise OR
    col1 | col2 AS bitwise_or,   -- col1 OR col2

    -- Left Shift
    col3 << 1 AS left_shift_col3, -- col3 shifted left by 1

    -- Right Shift
    col3 >> 1 AS right_shift_col3, -- col3 shifted right by 1

    -- XOR
    col1 # col2 AS bitwise_xor, -- col1 XOR col2

    -- NOT
    ~ col3 AS bitwise_not -- NOT col3

FROM bitwise_demo;
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Results
+-------------+------------+-----------------+------------------+-------------+-------------+
| bitwise_and | bitwise_or | left_shift_col3 | right_shift_col3 | bitwise_xor | bitwise_not |
+-------------+------------+-----------------+------------------+-------------+-------------+
|2            |7           |30               |7                 |5            |-16          |
|0            |15          |14               |3                 |15           |-8           |
|128          |255         |128              |32                |127          |-65          |
|0            |1           |-2               |-1                |1            |0            |
+-------------+------------+-----------------+------------------+-------------+-------------+

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Código de saída:

Snowflake
 SELECT
        BITAND(
        -- Bitwise AND
        col1, col2) AS bitwise_and,  -- col1 AND col2
        BITOR(

        -- Bitwise OR
        col1, col2) AS bitwise_or,   -- col1 OR col2
        -- Left Shift
        --** SSC-FDM-PG0010 - RESULTS MAY VARY DUE TO THE BEHAVIOR OF SNOWFLAKE'S BITSHIFTLEFT BITWISE FUNCTION **
        BITSHIFTLEFT(
        col3, 1) AS left_shift_col3, -- col3 shifted left by 1
        -- Right Shift
        --** SSC-FDM-PG0010 - RESULTS MAY VARY DUE TO THE BEHAVIOR OF SNOWFLAKE'S BITSHIFTRIGHT BITWISE FUNCTION **
        BITSHIFTRIGHT(
        col3, 1) AS right_shift_col3, -- col3 shifted right by 1
        BITXOR(

        -- XOR
        col1, col2) AS bitwise_xor, -- col1 XOR col2
        -- NOT
        BITNOT(col3) AS bitwise_not -- NOT col3
FROM
        bitwise_demo;
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Results
+-------------+------------+-----------------+------------------+-------------+-------------+
| bitwise_and | bitwise_or | left_shift_col3 | right_shift_col3 | bitwise_xor | bitwise_not |
+-------------+------------+-----------------+------------------+-------------+-------------+
|2            |7           |30               |7                 |5            |-16          |
|0            |15          |14               |3                 |15           |-8           |
|128          |255         |128              |32                |127          |-65          |
|0            |1           |-2               |-1                |1            |0            |
+-------------+------------+-----------------+------------------+-------------+-------------+

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Operadores bit a bit em dados binários

Para as funções BITAND, BITOR e BITXOR, o parâmetro'LEFT' é adicionado para inserir preenchimento no caso de ambos os valores binários terem comprimento diferente, para evitar erros ao comparar os valores no Snowflake.

Redshift
Query
 SELECT
    -- Bitwise AND
    col4 & col5 AS bitwise_and,  -- col4 AND col5

    -- Bitwise OR
    col4 | col5 AS bitwise_or,   -- col4 OR col5

    -- XOR
    col4 # col5 AS bitwise_xor, -- col4 XOR col5

    -- NOT
    ~ col4 AS bitwise_not -- NOT col4

FROM bitwise_demo;
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Result
+-----------------+-----------------+-----------------+-------------+
| bitwise_and     | bitwise_or      | bitwise_xor     | bitwise_not |
+-----------------+-----------------+-----------------+-------------+
|0x0000004869     |0x48656C6C6F     |0x48656C2406     |0xB79A939390 |
|0x0042           |0x4143           |0x4101           |0xBEBD       |
|0x00000000427965 |0x476F6F64427965 |0x476F6F64000000 |0xBD869A     |
|0x004161         |0x487D79         |0x483C18         |0xB79A86     |
+-----------------+-----------------+-----------------+-------------+

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Snowflake
Query
 SELECT
    BITAND(
    -- Bitwise AND
    col4, col5, 'LEFT') AS bitwise_and,  -- col4 AND col5
    BITOR(

    -- Bitwise OR
    col4, col5, 'LEFT') AS bitwise_or,   -- col4 OR col5

    -- XOR
    BITXOR(col4, col5, 'LEFT') AS bitwise_xor, -- col4 XOR col5

    -- NOT
    BITNOT(col4) AS bitwise_not -- NOT col4
    
    FROM bitwise_demo;
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Result
+---------------+---------------+---------------+-------------+
| bitwise_and   | bitwise_or    | bitwise_xor   | bitwise_not |
+---------------+---------------+---------------+-------------+
|0000004869     |48656C6C6F     |48656C2406     |B79A939390   |
|0042           |4143           |4101           |BEBD         |
|00000000427965 |476F6F64427965 |476F6F64000000 |BD869A       |
|004161         |487D79         |483C18         |B79A86       |
+---------------+---------------+---------------+-------------+

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Problemas conhecidos

Não foram encontrados problemas.

EWIs relacionados

  • SSC-FDM-PG0010: Os resultados podem variar devido ao comportamento da função bit a bit do Snowflake.